Complex System Fault Diagnosis Method Based on CFFPN
Authors
Yan Su, Yiqing Ling, Hui Wang
Corresponding Author
Yan Su
Available Online April 2016.
- DOI
- 10.2991/emim-16.2016.25How to use a DOI?
- Keywords
- Colored fuzzy fault petri net ?CFFPN?; Fault diagnosis; Modeling; Complex system; Pneumatic system
- Abstract
Considering the complexity of system structure and fault mechanism of complex system, a fault diagnosis method based on extended color fuzzy fault Petri net model is proposed (CFFPN) for civil aircraft. In order to increase the fault diagnosis efficiency, the CFFPN is modeled based on fuzzy mathematics and fault Petri net method through adding token, library and staining rules to describe the fault propagation. Fuzzy generated rules combined with matrix theory are utilized for fault diagnosis reasoning. CFFPN based reasoning algorithm is given. The validity of the proposed method is verified in one type aircraft pneumatic system.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Su AU - Yiqing Ling AU - Hui Wang PY - 2016/04 DA - 2016/04 TI - Complex System Fault Diagnosis Method Based on CFFPN BT - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society PB - Atlantis Press SP - 103 EP - 107 SN - 2352-538X UR - https://doi.org/10.2991/emim-16.2016.25 DO - 10.2991/emim-16.2016.25 ID - Su2016/04 ER -